In [4]:
hv.extension('bokeh')
import pandas as pd
import numpy as np
import holoviews as hv
import hvplot.pandas
from bokeh.models.formatters import NumeralTickFormatter
formatter = NumeralTickFormatter(format="0,0")
from holoviews import opts
from holoviews.streams import Buffer
from bokeh.models import Range1d, LinearAxis, VBar
def plot_secondary(plot, element):
"""
Hook to plot data on a secondary (twin) axis on a Holoviews Plot with Bokeh backend.
More info:
- http://holoviews.org/user_guide/Customizing_Plots.html#plot-hooks
- https://docs.bokeh.org/en/latest/docs/user_guide/plotting.html#twin-axes
"""
fig: Figure = plot.state
glyph_first: GlyphRenderer = fig.renderers[0] # will be the original plot
glyph_last: GlyphRenderer = fig.renderers[-1] # will be the new plot
right_axis_name = "twiny"
# Create both axes if right axis does not exist
if right_axis_name not in fig.extra_y_ranges.keys():
# Recreate primary axis (left)
if isinstance(glyph_first.glyph, VBar):
y_first_name = glyph_first.glyph.top
else:
y_first_name = glyph_first.glyph.y
#y_first_min = glyph_first.data_source.data[y_first_name].min()
y_first_min = 0
y_first_max = glyph_first.data_source.data[y_first_name].max()
y_first_offset = (y_first_max - y_first_min) * 0.1
fig.y_range = Range1d(
start=y_first_min - y_first_offset,
end=y_first_max + y_first_offset
)
fig.y_range.name = glyph_first.y_range_name
# Create secondary axis (right)
if isinstance(glyph_last.glyph, VBar):
y_last_name = glyph_last.glyph.top
else:
y_last_name = glyph_last.glyph.y
#y_last_min = glyph_last.data_source.data[y_last_name].min()
y_last_min = 0
y_last_max = glyph_last.data_source.data[y_last_name].max()
y_last_offset = (y_last_max - y_last_min) * 0.1
fig.extra_y_ranges = {right_axis_name: Range1d(
start=y_last_min - y_last_offset,
end=y_last_max + y_last_offset
)}
fig.add_layout(LinearAxis(y_range_name=right_axis_name, axis_label=y_last_name), "right")
# Set right axis for the last glyph added to the figure
glyph_last.y_range_name = right_axis_name
def plot_secondary_3_axes(plot, element):
"""
Hook to plot data on a secondary (twin) axis on a Holoviews Plot with Bokeh backend.
More info:
- http://holoviews.org/user_guide/Customizing_Plots.html#plot-hooks
- https://docs.bokeh.org/en/latest/docs/user_guide/plotting.html#twin-axes
"""
fig: Figure = plot.state
glyph_first: GlyphRenderer = fig.renderers[0] # will be the original plot
glyph_middle: GlyphRenderer = fig.renderers[1] # will be the middle plot
glyph_last: GlyphRenderer = fig.renderers[2] # will be the new plot
right_axis_name_middle = "twiny_middle"
right_axis_name_last = "twiny_last"
# Create both axes if right axis does not exist
if right_axis_name_last not in fig.extra_y_ranges.keys():
# Recreate primary axis (left)
if isinstance(glyph_first.glyph, VBar):
y_first_name = glyph_first.glyph.top
else:
y_first_name = glyph_first.glyph.y
#y_first_min = glyph_first.data_source.data[y_first_name].min()
y_first_min = 0
y_first_max = glyph_first.data_source.data[y_first_name].max()
y_first_offset = (y_first_max - y_first_min) * 0.1
fig.y_range = Range1d(
start=y_first_min - y_first_offset,
end=y_first_max + y_first_offset
)
fig.y_range.name = glyph_first.y_range_name
# Create secondary axis (right)
if isinstance(glyph_middle.glyph, VBar):
y_middle_name = glyph_middle.glyph.top
else:
y_middle_name = glyph_middle.glyph.y
#y_middle_min = glyph_middle.data_source.data[y_last_name].min()
y_middle_min = 0
y_middle_max = glyph_middle.data_source.data[y_middle_name].max()
y_middle_offset = (y_middle_max - y_middle_min) * 0.1
#fig.extra_y_ranges = {right_axis_name_middle: Range1d(
# start=y_middle_min - y_middle_offset,
# end=y_middle_max + y_middle_offset
#)}
#fig.add_layout(LinearAxis(y_range_name=right_axis_name_middle, axis_label=y_middle_name), "right")
# Create secondary axis (right)
if isinstance(glyph_last.glyph, VBar):
y_last_name = glyph_last.glyph.top
else:
y_last_name = glyph_last.glyph.y
#y_last_min = glyph_last.data_source.data[y_last_name].min()
y_last_min = 0
y_last_max = glyph_last.data_source.data[y_last_name].max()
y_last_offset = (y_last_max - y_last_min) * 0.1
fig.extra_y_ranges = {right_axis_name_last: Range1d(
start=y_last_min - y_last_offset,
end=y_last_max + y_last_offset
),
right_axis_name_middle: Range1d(
start=y_middle_min - y_middle_offset,
end=y_middle_max + y_middle_offset
)}
fig.add_layout(LinearAxis(y_range_name=right_axis_name_middle, axis_label=y_middle_name), "right")
fig.add_layout(LinearAxis(y_range_name=right_axis_name_last, axis_label=y_last_name), "right")
# Set right axis for the last glyph added to the figure
glyph_middle.y_range_name = right_axis_name_middle
glyph_last.y_range_name = right_axis_name_last
hv.extension('bokeh')
scotman_df = pd.read_csv('data/ScottishManufRevInScotland.csv')
cols = scotman_df.columns.drop('Description')
scotman_df[cols] = scotman_df[cols].apply(pd.to_numeric, errors='coerce').fillna(0)
scotman_df.index = scotman_df['Description']
scotman_df.drop(['Year', 'Division/\nSection', 'Description'], axis=1, inplace=True)
cols = scotman_df.columns
cols_fixed = [col.replace('\n', ' ').replace('�','£') for col in cols]
cols_fixed
scotman_df.columns = cols_fixed
scotman_df
| Number: £0- £50,000 | Number: £50,001-£100,000 | Number: £100,001-£200,000 | Number: £200,001-£1,000,000 | Number: £1,000,001-£5,000,000 | Number: £5,000,001+ | |
|---|---|---|---|---|---|---|
| Description | ||||||
| Manufacture of Food Products | 120.0 | 95.0 | 140.0 | 195.0 | 125.0 | 130.0 |
| Manufacture of Beverages | 110.0 | 60.0 | 50.0 | 80.0 | 30.0 | 45.0 |
| Manufacture of Tobacco Products | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| Manufacture of Textiles | 50.0 | 55.0 | 65.0 | 80.0 | 30.0 | 20.0 |
| Manufacture of Wearing Apparel | 45.0 | 50.0 | 35.0 | 45.0 | 15.0 | 5.0 |
| Manufacture of Leather and Related Products | 10.0 | 5.0 | 0.0 | 5.0 | 5.0 | 0.0 |
| Manufacture of Wood and of Products of Wood and Cork | 85.0 | 335.0 | 350.0 | 200.0 | 80.0 | 35.0 |
| Manufacture of Paper and Paper Products | 5.0 | 10.0 | 5.0 | 20.0 | 15.0 | 25.0 |
| Printing and Reproduction of Recorded Media | 95.0 | 100.0 | 115.0 | 120.0 | 45.0 | 15.0 |
| Manufacture of Coke and Refined Petroleum | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 10.0 |
| Manufacture of Chemicals and Chemical Products | 40.0 | 25.0 | 35.0 | 45.0 | 35.0 | 40.0 |
| Manufacture of Basic Pharmaceutical Products and Pharmaceutical Preparations | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 15.0 |
| Manufacture of Rubber and Plastic Products | 20.0 | 30.0 | 15.0 | 80.0 | 60.0 | 35.0 |
| Manufacture of Other Non-Metallic Mineral Products | 20.0 | 40.0 | 35.0 | 70.0 | 40.0 | 30.0 |
| Manufacture of Basic Metals | 10.0 | 20.0 | 15.0 | 20.0 | 20.0 | 20.0 |
| Manufacture of Fabricated and Metal Products | 180.0 | 715.0 | 350.0 | 400.0 | 240.0 | 95.0 |
| Manufacture of Computer, Electronic and Optical Products | 55.0 | 55.0 | 45.0 | 85.0 | 60.0 | 45.0 |
| Manufacture of Electrical Equipment | 15.0 | 20.0 | 15.0 | 40.0 | 35.0 | 20.0 |
| Manufacture of Machinery and Equipment Not Elsewhere Classified | 55.0 | 75.0 | 75.0 | 140.0 | 80.0 | 60.0 |
| Manufacture of Motor Vehicles, Trailers and Semi-Trailers | 20.0 | 40.0 | 30.0 | 25.0 | 20.0 | 10.0 |
| Manufacture of Other Transport Equipment | 25.0 | 65.0 | 40.0 | 30.0 | 15.0 | 15.0 |
| Manufacture of Furniture | 30.0 | 45.0 | 75.0 | 85.0 | 25.0 | 5.0 |
| Other Manufacturing | 105.0 | 145.0 | 130.0 | 190.0 | 40.0 | 15.0 |
| Repair and Installation of Machinery and Equipment | 175.0 | 450.0 | 245.0 | 240.0 | 100.0 | 60.0 |
#scotman_df.loc['Manufacture of Coke and Refined Petroleum', 'Number: 500+ employees'] = 5 ## Given dataset has 0, but Bus In Scot data shows 5 in 250+ category
scotman_df_1 = scotman_df.copy()
scotman_df_1['total number'] = scotman_df_1.sum(axis=1)
scotman_df_1 = scotman_df_1.sort_values(by='total number', ascending = False)
scotman_df_1 = scotman_df_1.drop ('total number', axis=1)
scotman_df_1.hvplot.bar(height=2000, width=2000, stacked=True, rot=75, yformatter=formatter, ylabel='Count of companies').opts(fontscale=1.5)
scotman_totals_df = pd.read_csv('data/ScottishManufInScotlandTotals_clean2.csv')
cols = scotman_totals_df.columns.drop('Description')
scotman_totals_df[cols] = scotman_totals_df[cols].apply(pd.to_numeric, errors='coerce').fillna(0)
scotman_totals_df.index = scotman_totals_df['Description']
cols = scotman_totals_df.columns
cols_fixed = [col.replace('\n', ' ').replace('�','£') for col in cols]
scotman_totals_df.columns = cols_fixed
scotman_totals_df['Total Scottish turnover (£)'] = 1000000 * scotman_totals_df['Total Scottish turnover (£m)']
scotman_totals_df.drop(['Description', 'Total Scottish employment', 'Total Scottish turnover (£m)'], axis=1, inplace=True)
scotman_totals_df
| Total Scottish turnover (£) | |
|---|---|
| Description | |
| Manufacture of Food Products | 5.430000e+09 |
| Manufacture of Beverages | 6.636000e+09 |
| Manufacture of Tobacco Products | 0.000000e+00 |
| Manufacture of Textiles | 4.770000e+08 |
| Manufacture of Wearing Apparel | 0.000000e+00 |
| Manufacture of Leather and Related Products | 0.000000e+00 |
| Manufacture of Wood and of Products of Wood and Cork | 1.591000e+09 |
| Manufacture of Paper and Paper Products | 8.630000e+08 |
| Printing and Reproduction of Recorded Media | 3.520000e+08 |
| Manufacture of Coke and Refined Petroleum | 4.483000e+09 |
| Manufacture of Chemicals and Chemical Products | 2.105000e+09 |
| Manufacture of Basic Pharmaceutical Products and Pharmaceutical Preparations | 2.089000e+09 |
| Manufacture of Rubber and Plastic Products | 1.190000e+09 |
| Manufacture of Other Non-Metallic Mineral Products | 9.400000e+08 |
| Manufacture of Basic Metals | 5.830000e+08 |
| Manufacture of Fabricated and Metal Products | 2.692000e+09 |
| Manufacture of Computer, Electronic and Optical Products | 2.118000e+09 |
| Manufacture of Electrical Equipment | 8.040000e+08 |
| Manufacture of Machinery and Equipment Not Elsewhere Classified | 2.580000e+09 |
| Manufacture of Motor Vehicles, Trailers and Semi-Trailers | 7.260000e+08 |
| Manufacture of Other Transport Equipment | 2.499000e+09 |
| Manufacture of Furniture | 2.220000e+08 |
| Other Manufacturing | 5.160000e+08 |
| Repair and Installation of Machinery and Equipment | 3.495000e+09 |
cols = scotman_df.columns
centres = [25000, 75000, 150000, 600000, 3000000, 0]
centres_dict = dict(zip(cols, centres))
centres_dict
{'Number: £0- £50,000': 25000,
'Number: £50,001-£100,000': 75000,
'Number: £100,001-£200,000': 150000,
'Number: £200,001-£1,000,000': 600000,
'Number: £1,000,001-£5,000,000': 3000000,
'Number: £5,000,001+': 0}
def estimate_total_revs(row):
total = sum([row[col] * centres_dict[col] for col in row.index])
return total
def estimate_revs(row):
for col in row.index:
new_col = col.replace('Number', 'Estimated Revenues')
row[new_col] = row[col] * centres_dict[col]
return row
scotman_df_3 = scotman_df.copy()
scotman_df_3_totals = scotman_df_3.apply(estimate_revs, axis=1)
scotman_df_3_totals
| Number: £0- £50,000 | Number: £50,001-£100,000 | Number: £100,001-£200,000 | Number: £200,001-£1,000,000 | Number: £1,000,001-£5,000,000 | Number: £5,000,001+ | Estimated Revenues: £0- £50,000 | Estimated Revenues: £50,001-£100,000 | Estimated Revenues: £100,001-£200,000 | Estimated Revenues: £200,001-£1,000,000 | Estimated Revenues: £1,000,001-£5,000,000 | Estimated Revenues: £5,000,001+ | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Description | ||||||||||||
| Manufacture of Food Products | 120.0 | 95.0 | 140.0 | 195.0 | 125.0 | 130.0 | 3000000.0 | 7125000.0 | 21000000.0 | 117000000.0 | 375000000.0 | 0.0 |
| Manufacture of Beverages | 110.0 | 60.0 | 50.0 | 80.0 | 30.0 | 45.0 | 2750000.0 | 4500000.0 | 7500000.0 | 48000000.0 | 90000000.0 | 0.0 |
| Manufacture of Tobacco Products | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| Manufacture of Textiles | 50.0 | 55.0 | 65.0 | 80.0 | 30.0 | 20.0 | 1250000.0 | 4125000.0 | 9750000.0 | 48000000.0 | 90000000.0 | 0.0 |
| Manufacture of Wearing Apparel | 45.0 | 50.0 | 35.0 | 45.0 | 15.0 | 5.0 | 1125000.0 | 3750000.0 | 5250000.0 | 27000000.0 | 45000000.0 | 0.0 |
| Manufacture of Leather and Related Products | 10.0 | 5.0 | 0.0 | 5.0 | 5.0 | 0.0 | 250000.0 | 375000.0 | 0.0 | 3000000.0 | 15000000.0 | 0.0 |
| Manufacture of Wood and of Products of Wood and Cork | 85.0 | 335.0 | 350.0 | 200.0 | 80.0 | 35.0 | 2125000.0 | 25125000.0 | 52500000.0 | 120000000.0 | 240000000.0 | 0.0 |
| Manufacture of Paper and Paper Products | 5.0 | 10.0 | 5.0 | 20.0 | 15.0 | 25.0 | 125000.0 | 750000.0 | 750000.0 | 12000000.0 | 45000000.0 | 0.0 |
| Printing and Reproduction of Recorded Media | 95.0 | 100.0 | 115.0 | 120.0 | 45.0 | 15.0 | 2375000.0 | 7500000.0 | 17250000.0 | 72000000.0 | 135000000.0 | 0.0 |
| Manufacture of Coke and Refined Petroleum | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 10.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
| Manufacture of Chemicals and Chemical Products | 40.0 | 25.0 | 35.0 | 45.0 | 35.0 | 40.0 | 1000000.0 | 1875000.0 | 5250000.0 | 27000000.0 | 105000000.0 | 0.0 |
| Manufacture of Basic Pharmaceutical Products and Pharmaceutical Preparations | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 15.0 | 125000.0 | 375000.0 | 750000.0 | 3000000.0 | 15000000.0 | 0.0 |
| Manufacture of Rubber and Plastic Products | 20.0 | 30.0 | 15.0 | 80.0 | 60.0 | 35.0 | 500000.0 | 2250000.0 | 2250000.0 | 48000000.0 | 180000000.0 | 0.0 |
| Manufacture of Other Non-Metallic Mineral Products | 20.0 | 40.0 | 35.0 | 70.0 | 40.0 | 30.0 | 500000.0 | 3000000.0 | 5250000.0 | 42000000.0 | 120000000.0 | 0.0 |
| Manufacture of Basic Metals | 10.0 | 20.0 | 15.0 | 20.0 | 20.0 | 20.0 | 250000.0 | 1500000.0 | 2250000.0 | 12000000.0 | 60000000.0 | 0.0 |
| Manufacture of Fabricated and Metal Products | 180.0 | 715.0 | 350.0 | 400.0 | 240.0 | 95.0 | 4500000.0 | 53625000.0 | 52500000.0 | 240000000.0 | 720000000.0 | 0.0 |
| Manufacture of Computer, Electronic and Optical Products | 55.0 | 55.0 | 45.0 | 85.0 | 60.0 | 45.0 | 1375000.0 | 4125000.0 | 6750000.0 | 51000000.0 | 180000000.0 | 0.0 |
| Manufacture of Electrical Equipment | 15.0 | 20.0 | 15.0 | 40.0 | 35.0 | 20.0 | 375000.0 | 1500000.0 | 2250000.0 | 24000000.0 | 105000000.0 | 0.0 |
| Manufacture of Machinery and Equipment Not Elsewhere Classified | 55.0 | 75.0 | 75.0 | 140.0 | 80.0 | 60.0 | 1375000.0 | 5625000.0 | 11250000.0 | 84000000.0 | 240000000.0 | 0.0 |
| Manufacture of Motor Vehicles, Trailers and Semi-Trailers | 20.0 | 40.0 | 30.0 | 25.0 | 20.0 | 10.0 | 500000.0 | 3000000.0 | 4500000.0 | 15000000.0 | 60000000.0 | 0.0 |
| Manufacture of Other Transport Equipment | 25.0 | 65.0 | 40.0 | 30.0 | 15.0 | 15.0 | 625000.0 | 4875000.0 | 6000000.0 | 18000000.0 | 45000000.0 | 0.0 |
| Manufacture of Furniture | 30.0 | 45.0 | 75.0 | 85.0 | 25.0 | 5.0 | 750000.0 | 3375000.0 | 11250000.0 | 51000000.0 | 75000000.0 | 0.0 |
| Other Manufacturing | 105.0 | 145.0 | 130.0 | 190.0 | 40.0 | 15.0 | 2625000.0 | 10875000.0 | 19500000.0 | 114000000.0 | 120000000.0 | 0.0 |
| Repair and Installation of Machinery and Equipment | 175.0 | 450.0 | 245.0 | 240.0 | 100.0 | 60.0 | 4375000.0 | 33750000.0 | 36750000.0 | 144000000.0 | 300000000.0 | 0.0 |
scotman_df_3['estimated total revenues'] = scotman_df_3.apply(estimate_total_revs, axis=1)
scotman_df_3
| Number: £0- £50,000 | Number: £50,001-£100,000 | Number: £100,001-£200,000 | Number: £200,001-£1,000,000 | Number: £1,000,001-£5,000,000 | Number: £5,000,001+ | estimated total revenues | |
|---|---|---|---|---|---|---|---|
| Description | |||||||
| Manufacture of Food Products | 120.0 | 95.0 | 140.0 | 195.0 | 125.0 | 130.0 | 5.231250e+08 |
| Manufacture of Beverages | 110.0 | 60.0 | 50.0 | 80.0 | 30.0 | 45.0 | 1.527500e+08 |
| Manufacture of Tobacco Products | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000e+00 |
| Manufacture of Textiles | 50.0 | 55.0 | 65.0 | 80.0 | 30.0 | 20.0 | 1.531250e+08 |
| Manufacture of Wearing Apparel | 45.0 | 50.0 | 35.0 | 45.0 | 15.0 | 5.0 | 8.212500e+07 |
| Manufacture of Leather and Related Products | 10.0 | 5.0 | 0.0 | 5.0 | 5.0 | 0.0 | 1.862500e+07 |
| Manufacture of Wood and of Products of Wood and Cork | 85.0 | 335.0 | 350.0 | 200.0 | 80.0 | 35.0 | 4.397500e+08 |
| Manufacture of Paper and Paper Products | 5.0 | 10.0 | 5.0 | 20.0 | 15.0 | 25.0 | 5.862500e+07 |
| Printing and Reproduction of Recorded Media | 95.0 | 100.0 | 115.0 | 120.0 | 45.0 | 15.0 | 2.341250e+08 |
| Manufacture of Coke and Refined Petroleum | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 10.0 | 0.000000e+00 |
| Manufacture of Chemicals and Chemical Products | 40.0 | 25.0 | 35.0 | 45.0 | 35.0 | 40.0 | 1.401250e+08 |
| Manufacture of Basic Pharmaceutical Products and Pharmaceutical Preparations | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 15.0 | 1.925000e+07 |
| Manufacture of Rubber and Plastic Products | 20.0 | 30.0 | 15.0 | 80.0 | 60.0 | 35.0 | 2.330000e+08 |
| Manufacture of Other Non-Metallic Mineral Products | 20.0 | 40.0 | 35.0 | 70.0 | 40.0 | 30.0 | 1.707500e+08 |
| Manufacture of Basic Metals | 10.0 | 20.0 | 15.0 | 20.0 | 20.0 | 20.0 | 7.600000e+07 |
| Manufacture of Fabricated and Metal Products | 180.0 | 715.0 | 350.0 | 400.0 | 240.0 | 95.0 | 1.070625e+09 |
| Manufacture of Computer, Electronic and Optical Products | 55.0 | 55.0 | 45.0 | 85.0 | 60.0 | 45.0 | 2.432500e+08 |
| Manufacture of Electrical Equipment | 15.0 | 20.0 | 15.0 | 40.0 | 35.0 | 20.0 | 1.331250e+08 |
| Manufacture of Machinery and Equipment Not Elsewhere Classified | 55.0 | 75.0 | 75.0 | 140.0 | 80.0 | 60.0 | 3.422500e+08 |
| Manufacture of Motor Vehicles, Trailers and Semi-Trailers | 20.0 | 40.0 | 30.0 | 25.0 | 20.0 | 10.0 | 8.300000e+07 |
| Manufacture of Other Transport Equipment | 25.0 | 65.0 | 40.0 | 30.0 | 15.0 | 15.0 | 7.450000e+07 |
| Manufacture of Furniture | 30.0 | 45.0 | 75.0 | 85.0 | 25.0 | 5.0 | 1.413750e+08 |
| Other Manufacturing | 105.0 | 145.0 | 130.0 | 190.0 | 40.0 | 15.0 | 2.670000e+08 |
| Repair and Installation of Machinery and Equipment | 175.0 | 450.0 | 245.0 | 240.0 | 100.0 | 60.0 | 5.188750e+08 |
scotman_df_3_totals['Estimated Revenues: £5,000,001+'] = scotman_totals_df['Total Scottish turnover (£)'] - scotman_df_3['estimated total revenues']
scotman_df_3_totals['Total Revenues'] = scotman_totals_df['Total Scottish turnover (£)']
scotman_df_3_totals
| Number: £0- £50,000 | Number: £50,001-£100,000 | Number: £100,001-£200,000 | Number: £200,001-£1,000,000 | Number: £1,000,001-£5,000,000 | Number: £5,000,001+ | Estimated Revenues: £0- £50,000 | Estimated Revenues: £50,001-£100,000 | Estimated Revenues: £100,001-£200,000 | Estimated Revenues: £200,001-£1,000,000 | Estimated Revenues: £1,000,001-£5,000,000 | Estimated Revenues: £5,000,001+ | Total Revenues | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Description | |||||||||||||
| Manufacture of Food Products | 120.0 | 95.0 | 140.0 | 195.0 | 125.0 | 130.0 | 3000000.0 | 7125000.0 | 21000000.0 | 117000000.0 | 375000000.0 | 4.906875e+09 | 5.430000e+09 |
| Manufacture of Beverages | 110.0 | 60.0 | 50.0 | 80.0 | 30.0 | 45.0 | 2750000.0 | 4500000.0 | 7500000.0 | 48000000.0 | 90000000.0 | 6.483250e+09 | 6.636000e+09 |
| Manufacture of Tobacco Products | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000e+00 | 0.000000e+00 |
| Manufacture of Textiles | 50.0 | 55.0 | 65.0 | 80.0 | 30.0 | 20.0 | 1250000.0 | 4125000.0 | 9750000.0 | 48000000.0 | 90000000.0 | 3.238750e+08 | 4.770000e+08 |
| Manufacture of Wearing Apparel | 45.0 | 50.0 | 35.0 | 45.0 | 15.0 | 5.0 | 1125000.0 | 3750000.0 | 5250000.0 | 27000000.0 | 45000000.0 | -8.212500e+07 | 0.000000e+00 |
| Manufacture of Leather and Related Products | 10.0 | 5.0 | 0.0 | 5.0 | 5.0 | 0.0 | 250000.0 | 375000.0 | 0.0 | 3000000.0 | 15000000.0 | -1.862500e+07 | 0.000000e+00 |
| Manufacture of Wood and of Products of Wood and Cork | 85.0 | 335.0 | 350.0 | 200.0 | 80.0 | 35.0 | 2125000.0 | 25125000.0 | 52500000.0 | 120000000.0 | 240000000.0 | 1.151250e+09 | 1.591000e+09 |
| Manufacture of Paper and Paper Products | 5.0 | 10.0 | 5.0 | 20.0 | 15.0 | 25.0 | 125000.0 | 750000.0 | 750000.0 | 12000000.0 | 45000000.0 | 8.043750e+08 | 8.630000e+08 |
| Printing and Reproduction of Recorded Media | 95.0 | 100.0 | 115.0 | 120.0 | 45.0 | 15.0 | 2375000.0 | 7500000.0 | 17250000.0 | 72000000.0 | 135000000.0 | 1.178750e+08 | 3.520000e+08 |
| Manufacture of Coke and Refined Petroleum | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 10.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.483000e+09 | 4.483000e+09 |
| Manufacture of Chemicals and Chemical Products | 40.0 | 25.0 | 35.0 | 45.0 | 35.0 | 40.0 | 1000000.0 | 1875000.0 | 5250000.0 | 27000000.0 | 105000000.0 | 1.964875e+09 | 2.105000e+09 |
| Manufacture of Basic Pharmaceutical Products and Pharmaceutical Preparations | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 15.0 | 125000.0 | 375000.0 | 750000.0 | 3000000.0 | 15000000.0 | 2.069750e+09 | 2.089000e+09 |
| Manufacture of Rubber and Plastic Products | 20.0 | 30.0 | 15.0 | 80.0 | 60.0 | 35.0 | 500000.0 | 2250000.0 | 2250000.0 | 48000000.0 | 180000000.0 | 9.570000e+08 | 1.190000e+09 |
| Manufacture of Other Non-Metallic Mineral Products | 20.0 | 40.0 | 35.0 | 70.0 | 40.0 | 30.0 | 500000.0 | 3000000.0 | 5250000.0 | 42000000.0 | 120000000.0 | 7.692500e+08 | 9.400000e+08 |
| Manufacture of Basic Metals | 10.0 | 20.0 | 15.0 | 20.0 | 20.0 | 20.0 | 250000.0 | 1500000.0 | 2250000.0 | 12000000.0 | 60000000.0 | 5.070000e+08 | 5.830000e+08 |
| Manufacture of Fabricated and Metal Products | 180.0 | 715.0 | 350.0 | 400.0 | 240.0 | 95.0 | 4500000.0 | 53625000.0 | 52500000.0 | 240000000.0 | 720000000.0 | 1.621375e+09 | 2.692000e+09 |
| Manufacture of Computer, Electronic and Optical Products | 55.0 | 55.0 | 45.0 | 85.0 | 60.0 | 45.0 | 1375000.0 | 4125000.0 | 6750000.0 | 51000000.0 | 180000000.0 | 1.874750e+09 | 2.118000e+09 |
| Manufacture of Electrical Equipment | 15.0 | 20.0 | 15.0 | 40.0 | 35.0 | 20.0 | 375000.0 | 1500000.0 | 2250000.0 | 24000000.0 | 105000000.0 | 6.708750e+08 | 8.040000e+08 |
| Manufacture of Machinery and Equipment Not Elsewhere Classified | 55.0 | 75.0 | 75.0 | 140.0 | 80.0 | 60.0 | 1375000.0 | 5625000.0 | 11250000.0 | 84000000.0 | 240000000.0 | 2.237750e+09 | 2.580000e+09 |
| Manufacture of Motor Vehicles, Trailers and Semi-Trailers | 20.0 | 40.0 | 30.0 | 25.0 | 20.0 | 10.0 | 500000.0 | 3000000.0 | 4500000.0 | 15000000.0 | 60000000.0 | 6.430000e+08 | 7.260000e+08 |
| Manufacture of Other Transport Equipment | 25.0 | 65.0 | 40.0 | 30.0 | 15.0 | 15.0 | 625000.0 | 4875000.0 | 6000000.0 | 18000000.0 | 45000000.0 | 2.424500e+09 | 2.499000e+09 |
| Manufacture of Furniture | 30.0 | 45.0 | 75.0 | 85.0 | 25.0 | 5.0 | 750000.0 | 3375000.0 | 11250000.0 | 51000000.0 | 75000000.0 | 8.062500e+07 | 2.220000e+08 |
| Other Manufacturing | 105.0 | 145.0 | 130.0 | 190.0 | 40.0 | 15.0 | 2625000.0 | 10875000.0 | 19500000.0 | 114000000.0 | 120000000.0 | 2.490000e+08 | 5.160000e+08 |
| Repair and Installation of Machinery and Equipment | 175.0 | 450.0 | 245.0 | 240.0 | 100.0 | 60.0 | 4375000.0 | 33750000.0 | 36750000.0 | 144000000.0 | 300000000.0 | 2.976125e+09 | 3.495000e+09 |
scotman_df_3_totals = scotman_df_3_totals.sort_values(by='Total Revenues', ascending = False)
scotman_df_3_totals[['Total Revenues']].hvplot.bar(height=2000, width=2000, stacked=True, rot=75, yformatter=formatter).opts(fontscale=1.5)
scotman_df_3_totals['cumulative_total'] = scotman_df_3_totals[['Total Revenues']].cumsum()
scotman_df_3_totals['cumulative_perc'] = 100 * scotman_df_3_totals['cumulative_total'] / scotman_df_3_totals['Total Revenues'].sum()
scotman_df_3_totals
| Number: £0- £50,000 | Number: £50,001-£100,000 | Number: £100,001-£200,000 | Number: £200,001-£1,000,000 | Number: £1,000,001-£5,000,000 | Number: £5,000,001+ | Estimated Revenues: £0- £50,000 | Estimated Revenues: £50,001-£100,000 | Estimated Revenues: £100,001-£200,000 | Estimated Revenues: £200,001-£1,000,000 | Estimated Revenues: £1,000,001-£5,000,000 | Estimated Revenues: £5,000,001+ | Total Revenues | cumulative_total | cumulative_perc | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Description | |||||||||||||||
| Manufacture of Beverages | 110.0 | 60.0 | 50.0 | 80.0 | 30.0 | 45.0 | 2750000.0 | 4500000.0 | 7500000.0 | 48000000.0 | 90000000.0 | 6.483250e+09 | 6.636000e+09 | 6.636000e+09 | 15.654266 |
| Manufacture of Food Products | 120.0 | 95.0 | 140.0 | 195.0 | 125.0 | 130.0 | 3000000.0 | 7125000.0 | 21000000.0 | 117000000.0 | 375000000.0 | 4.906875e+09 | 5.430000e+09 | 1.206600e+10 | 28.463589 |
| Manufacture of Coke and Refined Petroleum | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 10.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 4.483000e+09 | 4.483000e+09 | 1.654900e+10 | 39.038947 |
| Repair and Installation of Machinery and Equipment | 175.0 | 450.0 | 245.0 | 240.0 | 100.0 | 60.0 | 4375000.0 | 33750000.0 | 36750000.0 | 144000000.0 | 300000000.0 | 2.976125e+09 | 3.495000e+09 | 2.004400e+10 | 47.283622 |
| Manufacture of Fabricated and Metal Products | 180.0 | 715.0 | 350.0 | 400.0 | 240.0 | 95.0 | 4500000.0 | 53625000.0 | 52500000.0 | 240000000.0 | 720000000.0 | 1.621375e+09 | 2.692000e+09 | 2.273600e+10 | 53.634026 |
| Manufacture of Machinery and Equipment Not Elsewhere Classified | 55.0 | 75.0 | 75.0 | 140.0 | 80.0 | 60.0 | 1375000.0 | 5625000.0 | 11250000.0 | 84000000.0 | 240000000.0 | 2.237750e+09 | 2.580000e+09 | 2.531600e+10 | 59.720224 |
| Manufacture of Other Transport Equipment | 25.0 | 65.0 | 40.0 | 30.0 | 15.0 | 15.0 | 625000.0 | 4875000.0 | 6000000.0 | 18000000.0 | 45000000.0 | 2.424500e+09 | 2.499000e+09 | 2.781500e+10 | 65.615343 |
| Manufacture of Computer, Electronic and Optical Products | 55.0 | 55.0 | 45.0 | 85.0 | 60.0 | 45.0 | 1375000.0 | 4125000.0 | 6750000.0 | 51000000.0 | 180000000.0 | 1.874750e+09 | 2.118000e+09 | 2.993300e+10 | 70.611686 |
| Manufacture of Chemicals and Chemical Products | 40.0 | 25.0 | 35.0 | 45.0 | 35.0 | 40.0 | 1000000.0 | 1875000.0 | 5250000.0 | 27000000.0 | 105000000.0 | 1.964875e+09 | 2.105000e+09 | 3.203800e+10 | 75.577363 |
| Manufacture of Basic Pharmaceutical Products and Pharmaceutical Preparations | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 15.0 | 125000.0 | 375000.0 | 750000.0 | 3000000.0 | 15000000.0 | 2.069750e+09 | 2.089000e+09 | 3.412700e+10 | 80.505296 |
| Manufacture of Wood and of Products of Wood and Cork | 85.0 | 335.0 | 350.0 | 200.0 | 80.0 | 35.0 | 2125000.0 | 25125000.0 | 52500000.0 | 120000000.0 | 240000000.0 | 1.151250e+09 | 1.591000e+09 | 3.571800e+10 | 84.258451 |
| Manufacture of Rubber and Plastic Products | 20.0 | 30.0 | 15.0 | 80.0 | 60.0 | 35.0 | 500000.0 | 2250000.0 | 2250000.0 | 48000000.0 | 180000000.0 | 9.570000e+08 | 1.190000e+09 | 3.690800e+10 | 87.065651 |
| Manufacture of Other Non-Metallic Mineral Products | 20.0 | 40.0 | 35.0 | 70.0 | 40.0 | 30.0 | 500000.0 | 3000000.0 | 5250000.0 | 42000000.0 | 120000000.0 | 7.692500e+08 | 9.400000e+08 | 3.784800e+10 | 89.283103 |
| Manufacture of Paper and Paper Products | 5.0 | 10.0 | 5.0 | 20.0 | 15.0 | 25.0 | 125000.0 | 750000.0 | 750000.0 | 12000000.0 | 45000000.0 | 8.043750e+08 | 8.630000e+08 | 3.871100e+10 | 91.318912 |
| Manufacture of Electrical Equipment | 15.0 | 20.0 | 15.0 | 40.0 | 35.0 | 20.0 | 375000.0 | 1500000.0 | 2250000.0 | 24000000.0 | 105000000.0 | 6.708750e+08 | 8.040000e+08 | 3.951500e+10 | 93.215541 |
| Manufacture of Motor Vehicles, Trailers and Semi-Trailers | 20.0 | 40.0 | 30.0 | 25.0 | 20.0 | 10.0 | 500000.0 | 3000000.0 | 4500000.0 | 15000000.0 | 60000000.0 | 6.430000e+08 | 7.260000e+08 | 4.024100e+10 | 94.928169 |
| Manufacture of Basic Metals | 10.0 | 20.0 | 15.0 | 20.0 | 20.0 | 20.0 | 250000.0 | 1500000.0 | 2250000.0 | 12000000.0 | 60000000.0 | 5.070000e+08 | 5.830000e+08 | 4.082400e+10 | 96.303461 |
| Other Manufacturing | 105.0 | 145.0 | 130.0 | 190.0 | 40.0 | 15.0 | 2625000.0 | 10875000.0 | 19500000.0 | 114000000.0 | 120000000.0 | 2.490000e+08 | 5.160000e+08 | 4.134000e+10 | 97.520700 |
| Manufacture of Textiles | 50.0 | 55.0 | 65.0 | 80.0 | 30.0 | 20.0 | 1250000.0 | 4125000.0 | 9750000.0 | 48000000.0 | 90000000.0 | 3.238750e+08 | 4.770000e+08 | 4.181700e+10 | 98.645939 |
| Printing and Reproduction of Recorded Media | 95.0 | 100.0 | 115.0 | 120.0 | 45.0 | 15.0 | 2375000.0 | 7500000.0 | 17250000.0 | 72000000.0 | 135000000.0 | 1.178750e+08 | 3.520000e+08 | 4.216900e+10 | 99.476304 |
| Manufacture of Furniture | 30.0 | 45.0 | 75.0 | 85.0 | 25.0 | 5.0 | 750000.0 | 3375000.0 | 11250000.0 | 51000000.0 | 75000000.0 | 8.062500e+07 | 2.220000e+08 | 4.239100e+10 | 100.000000 |
| Manufacture of Leather and Related Products | 10.0 | 5.0 | 0.0 | 5.0 | 5.0 | 0.0 | 250000.0 | 375000.0 | 0.0 | 3000000.0 | 15000000.0 | -1.862500e+07 | 0.000000e+00 | 4.239100e+10 | 100.000000 |
| Manufacture of Tobacco Products | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000e+00 | 0.000000e+00 | 4.239100e+10 | 100.000000 |
| Manufacture of Wearing Apparel | 45.0 | 50.0 | 35.0 | 45.0 | 15.0 | 5.0 | 1125000.0 | 3750000.0 | 5250000.0 | 27000000.0 | 45000000.0 | -8.212500e+07 | 0.000000e+00 | 4.239100e+10 | 100.000000 |
chart1 = scotman_df_3_totals[['Total Revenues']].hvplot.bar(height=2000, width=2000, rot=75, yformatter=formatter).options(fontscale=1.5, framewise=True, yaxis='left', show_grid=True)
chart2 = scotman_df_3_totals[['cumulative_perc']].hvplot.line(height=2000, width=2000, rot=75, ylim=(0,100)).options(fontscale=1.5, framewise=True,hooks=[plot_secondary], color='red', show_grid=True)
(chart1 * chart2)
use_cols = [col for col in scotman_df_3_totals.columns if 'Estimated Revenues' in col]
use_cols
['Estimated Revenues: £0- £50,000', 'Estimated Revenues: £50,001-£100,000', 'Estimated Revenues: £100,001-£200,000', 'Estimated Revenues: £200,001-£1,000,000', 'Estimated Revenues: £1,000,001-£5,000,000', 'Estimated Revenues: £5,000,001+']
scotman_df_4 = scotman_df_3_totals[use_cols]
scotman_df_4.hvplot.bar(height=2000, width=2000, stacked=True, rot=75,yformatter=formatter).opts(fontscale=1.5)
chart1 = scotman_df_4.hvplot.bar(height=2000, width=2000, stacked=True, rot=75,yformatter=formatter).opts(fontscale=1.5).options(fontscale=1.5, framewise=True, yaxis='left', show_grid=True)
chart2 = scotman_df_3_totals[['cumulative_perc']].hvplot.line(height=2000, width=2000, rot=75, ylim=(0,100)).options(fontscale=1.5, framewise=True,hooks=[plot_secondary], color='red', show_grid=True)
(chart1 * chart2)
scotman_df_3_totals.loc["Total"] = scotman_df_3_totals.sum()
scotman_df_3_totals
| Number: £0- £50,000 | Number: £50,001-£100,000 | Number: £100,001-£200,000 | Number: £200,001-£1,000,000 | Number: £1,000,001-£5,000,000 | Number: £5,000,001+ | Estimated Revenues: £0- £50,000 | Estimated Revenues: £50,001-£100,000 | Estimated Revenues: £100,001-£200,000 | Estimated Revenues: £200,001-£1,000,000 | Estimated Revenues: £1,000,001-£5,000,000 | Estimated Revenues: £5,000,001+ | Total Revenues | cumulative_total | cumulative_perc | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Description | |||||||||||||||
| Manufacture of Beverages | 110.0 | 60.0 | 50.0 | 80.0 | 30.0 | 45.0 | 2750000.0 | 4500000.0 | 7500000.0 | 4.800000e+07 | 9.000000e+07 | 6.483250e+09 | 6.636000e+09 | 6.636000e+09 | 15.654266 |
| Manufacture of Food Products | 120.0 | 95.0 | 140.0 | 195.0 | 125.0 | 130.0 | 3000000.0 | 7125000.0 | 21000000.0 | 1.170000e+08 | 3.750000e+08 | 4.906875e+09 | 5.430000e+09 | 1.206600e+10 | 28.463589 |
| Manufacture of Coke and Refined Petroleum | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 10.0 | 0.0 | 0.0 | 0.0 | 0.000000e+00 | 0.000000e+00 | 4.483000e+09 | 4.483000e+09 | 1.654900e+10 | 39.038947 |
| Repair and Installation of Machinery and Equipment | 175.0 | 450.0 | 245.0 | 240.0 | 100.0 | 60.0 | 4375000.0 | 33750000.0 | 36750000.0 | 1.440000e+08 | 3.000000e+08 | 2.976125e+09 | 3.495000e+09 | 2.004400e+10 | 47.283622 |
| Manufacture of Fabricated and Metal Products | 180.0 | 715.0 | 350.0 | 400.0 | 240.0 | 95.0 | 4500000.0 | 53625000.0 | 52500000.0 | 2.400000e+08 | 7.200000e+08 | 1.621375e+09 | 2.692000e+09 | 2.273600e+10 | 53.634026 |
| Manufacture of Machinery and Equipment Not Elsewhere Classified | 55.0 | 75.0 | 75.0 | 140.0 | 80.0 | 60.0 | 1375000.0 | 5625000.0 | 11250000.0 | 8.400000e+07 | 2.400000e+08 | 2.237750e+09 | 2.580000e+09 | 2.531600e+10 | 59.720224 |
| Manufacture of Other Transport Equipment | 25.0 | 65.0 | 40.0 | 30.0 | 15.0 | 15.0 | 625000.0 | 4875000.0 | 6000000.0 | 1.800000e+07 | 4.500000e+07 | 2.424500e+09 | 2.499000e+09 | 2.781500e+10 | 65.615343 |
| Manufacture of Computer, Electronic and Optical Products | 55.0 | 55.0 | 45.0 | 85.0 | 60.0 | 45.0 | 1375000.0 | 4125000.0 | 6750000.0 | 5.100000e+07 | 1.800000e+08 | 1.874750e+09 | 2.118000e+09 | 2.993300e+10 | 70.611686 |
| Manufacture of Chemicals and Chemical Products | 40.0 | 25.0 | 35.0 | 45.0 | 35.0 | 40.0 | 1000000.0 | 1875000.0 | 5250000.0 | 2.700000e+07 | 1.050000e+08 | 1.964875e+09 | 2.105000e+09 | 3.203800e+10 | 75.577363 |
| Manufacture of Basic Pharmaceutical Products and Pharmaceutical Preparations | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 15.0 | 125000.0 | 375000.0 | 750000.0 | 3.000000e+06 | 1.500000e+07 | 2.069750e+09 | 2.089000e+09 | 3.412700e+10 | 80.505296 |
| Manufacture of Wood and of Products of Wood and Cork | 85.0 | 335.0 | 350.0 | 200.0 | 80.0 | 35.0 | 2125000.0 | 25125000.0 | 52500000.0 | 1.200000e+08 | 2.400000e+08 | 1.151250e+09 | 1.591000e+09 | 3.571800e+10 | 84.258451 |
| Manufacture of Rubber and Plastic Products | 20.0 | 30.0 | 15.0 | 80.0 | 60.0 | 35.0 | 500000.0 | 2250000.0 | 2250000.0 | 4.800000e+07 | 1.800000e+08 | 9.570000e+08 | 1.190000e+09 | 3.690800e+10 | 87.065651 |
| Manufacture of Other Non-Metallic Mineral Products | 20.0 | 40.0 | 35.0 | 70.0 | 40.0 | 30.0 | 500000.0 | 3000000.0 | 5250000.0 | 4.200000e+07 | 1.200000e+08 | 7.692500e+08 | 9.400000e+08 | 3.784800e+10 | 89.283103 |
| Manufacture of Paper and Paper Products | 5.0 | 10.0 | 5.0 | 20.0 | 15.0 | 25.0 | 125000.0 | 750000.0 | 750000.0 | 1.200000e+07 | 4.500000e+07 | 8.043750e+08 | 8.630000e+08 | 3.871100e+10 | 91.318912 |
| Manufacture of Electrical Equipment | 15.0 | 20.0 | 15.0 | 40.0 | 35.0 | 20.0 | 375000.0 | 1500000.0 | 2250000.0 | 2.400000e+07 | 1.050000e+08 | 6.708750e+08 | 8.040000e+08 | 3.951500e+10 | 93.215541 |
| Manufacture of Motor Vehicles, Trailers and Semi-Trailers | 20.0 | 40.0 | 30.0 | 25.0 | 20.0 | 10.0 | 500000.0 | 3000000.0 | 4500000.0 | 1.500000e+07 | 6.000000e+07 | 6.430000e+08 | 7.260000e+08 | 4.024100e+10 | 94.928169 |
| Manufacture of Basic Metals | 10.0 | 20.0 | 15.0 | 20.0 | 20.0 | 20.0 | 250000.0 | 1500000.0 | 2250000.0 | 1.200000e+07 | 6.000000e+07 | 5.070000e+08 | 5.830000e+08 | 4.082400e+10 | 96.303461 |
| Other Manufacturing | 105.0 | 145.0 | 130.0 | 190.0 | 40.0 | 15.0 | 2625000.0 | 10875000.0 | 19500000.0 | 1.140000e+08 | 1.200000e+08 | 2.490000e+08 | 5.160000e+08 | 4.134000e+10 | 97.520700 |
| Manufacture of Textiles | 50.0 | 55.0 | 65.0 | 80.0 | 30.0 | 20.0 | 1250000.0 | 4125000.0 | 9750000.0 | 4.800000e+07 | 9.000000e+07 | 3.238750e+08 | 4.770000e+08 | 4.181700e+10 | 98.645939 |
| Printing and Reproduction of Recorded Media | 95.0 | 100.0 | 115.0 | 120.0 | 45.0 | 15.0 | 2375000.0 | 7500000.0 | 17250000.0 | 7.200000e+07 | 1.350000e+08 | 1.178750e+08 | 3.520000e+08 | 4.216900e+10 | 99.476304 |
| Manufacture of Furniture | 30.0 | 45.0 | 75.0 | 85.0 | 25.0 | 5.0 | 750000.0 | 3375000.0 | 11250000.0 | 5.100000e+07 | 7.500000e+07 | 8.062500e+07 | 2.220000e+08 | 4.239100e+10 | 100.000000 |
| Manufacture of Leather and Related Products | 10.0 | 5.0 | 0.0 | 5.0 | 5.0 | 0.0 | 250000.0 | 375000.0 | 0.0 | 3.000000e+06 | 1.500000e+07 | -1.862500e+07 | 0.000000e+00 | 4.239100e+10 | 100.000000 |
| Manufacture of Tobacco Products | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 | 4.239100e+10 | 100.000000 |
| Manufacture of Wearing Apparel | 45.0 | 50.0 | 35.0 | 45.0 | 15.0 | 5.0 | 1125000.0 | 3750000.0 | 5250000.0 | 2.700000e+07 | 4.500000e+07 | -8.212500e+07 | 0.000000e+00 | 4.239100e+10 | 100.000000 |
| Total | 1275.0 | 2440.0 | 1870.0 | 2200.0 | 1120.0 | 750.0 | 31875000.0 | 183000000.0 | 280500000.0 | 1.320000e+09 | 3.360000e+09 | 3.721562e+10 | 4.239100e+10 | 7.919150e+11 | 1868.120592 |
def create_cum_df(sip):
est_emp_cols = [col for col in scotman_df_3_totals.columns if 'Estimated Revenues' in col]
num_cols = [col for col in scotman_df_3_totals.columns if 'Number' in col]
use_rows = [col.replace('Estimated Revenues: ','') for col in use_cols ]
sip_df = pd.DataFrame(scotman_df_3_totals.loc[sip])
emp_df = sip_df.loc[est_emp_cols]
emp_df.rename(columns={sip: 'Total Revenues'}, inplace=True)
emp_df.index = use_rows
num_df = sip_df.loc[num_cols]
num_df.rename(columns={sip: 'Number of Companies'}, inplace=True)
num_df.index = use_rows
df = emp_df.join(num_df)
df = df.iloc[::-1]
df['cumulative_sum'] = df['Total Revenues'].cumsum()
s = df['Total Revenues'].sum()
if s > 0:
df['cumulative_perc'] = 100 * df['cumulative_sum'] / s
else:
df['cumulative_perc'] = 100
return df
sip = scotman_df_3_totals.index[1]
def create_cum_charts(sip):
df = create_cum_df(sip)
chart1 = df[['Total Revenues']].hvplot.bar(height=1000, width=1000, rot=75, yformatter=formatter, title=sip).options(fontscale=1.5, framewise=True, yaxis='left', show_grid=True)
chart2 = df[['Number of Companies']].hvplot.bar(height=1000, width=1000, bar_width=0.1, rot=75, ylim=(0,100), ).options(fontscale=1.5, framewise=True,hooks=[plot_secondary_3_axes], color='green', show_grid=True)
chart3 = df[['cumulative_perc']].hvplot.line(height=1000, width=1000, rot=75, ylim=(0,100)).options(fontscale=1.5, framewise=True,hooks=[plot_secondary_3_axes], color='red', show_grid=True)
return chart1 * chart2 * chart3
charts = None
for sip in scotman_df_3_totals.index:
cs = create_cum_charts(sip)
if charts == None:
charts = cs
else:
charts = charts + cs
#print(sip, ':', cs, ':', charts)
layout = hv.Layout(charts).cols(1)
layout
WARNING:param.BarPlot36696: Plotting hook <function plot_secondary_3_axes at 0x0000021870AB0670> could not be applied: list index out of range WARNING:param.BarPlot36853: Plotting hook <function plot_secondary_3_axes at 0x0000021870AB0670> could not be applied: list index out of range WARNING:param.BarPlot37009: Plotting hook <function plot_secondary_3_axes at 0x0000021870AB0670> could not be applied: list index out of range WARNING:param.BarPlot37165: Plotting hook <function plot_secondary_3_axes at 0x0000021870AB0670> could not be applied: list index out of range WARNING:param.BarPlot37321: Plotting hook <function plot_secondary_3_axes at 0x0000021870AB0670> could not be applied: list index out of range WARNING:param.BarPlot37477: Plotting hook <function plot_secondary_3_axes at 0x0000021870AB0670> could not be applied: list index out of range WARNING:param.BarPlot37633: Plotting hook <function plot_secondary_3_axes at 0x0000021870AB0670> could not be applied: list index out of range WARNING:param.BarPlot37789: Plotting hook <function plot_secondary_3_axes at 0x0000021870AB0670> could not be applied: list index out of range WARNING:param.BarPlot37945: Plotting hook <function plot_secondary_3_axes at 0x0000021870AB0670> could not be applied: list index out of range WARNING:param.BarPlot38101: Plotting hook <function plot_secondary_3_axes at 0x0000021870AB0670> could not be applied: list index out of range WARNING:param.BarPlot38257: Plotting hook <function plot_secondary_3_axes at 0x0000021870AB0670> could not be applied: list index out of range WARNING:param.BarPlot38413: Plotting hook <function plot_secondary_3_axes at 0x0000021870AB0670> could not be applied: list index out of range WARNING:param.BarPlot38569: Plotting hook <function plot_secondary_3_axes at 0x0000021870AB0670> could not be applied: list index out of range WARNING:param.BarPlot38725: Plotting hook <function plot_secondary_3_axes at 0x0000021870AB0670> could not be applied: list index out of range WARNING:param.BarPlot38881: Plotting hook <function plot_secondary_3_axes at 0x0000021870AB0670> could not be applied: list index out of range WARNING:param.BarPlot39037: Plotting hook <function plot_secondary_3_axes at 0x0000021870AB0670> could not be applied: list index out of range WARNING:param.BarPlot39193: Plotting hook <function plot_secondary_3_axes at 0x0000021870AB0670> could not be applied: list index out of range WARNING:param.BarPlot39349: Plotting hook <function plot_secondary_3_axes at 0x0000021870AB0670> could not be applied: list index out of range WARNING:param.BarPlot39505: Plotting hook <function plot_secondary_3_axes at 0x0000021870AB0670> could not be applied: list index out of range WARNING:param.BarPlot39661: Plotting hook <function plot_secondary_3_axes at 0x0000021870AB0670> could not be applied: list index out of range WARNING:param.BarPlot39817: Plotting hook <function plot_secondary_3_axes at 0x0000021870AB0670> could not be applied: list index out of range WARNING:param.BarPlot39973: Plotting hook <function plot_secondary_3_axes at 0x0000021870AB0670> could not be applied: list index out of range WARNING:param.BarPlot40129: Plotting hook <function plot_secondary_3_axes at 0x0000021870AB0670> could not be applied: list index out of range WARNING:param.BarPlot40285: Plotting hook <function plot_secondary_3_axes at 0x0000021870AB0670> could not be applied: list index out of range WARNING:param.BarPlot40441: Plotting hook <function plot_secondary_3_axes at 0x0000021870AB0670> could not be applied: list index out of range